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Source: Sensors

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Total 332 results found since Jan 2013.

Sensors, Vol. 23, Pages 7946: Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients
In this study, we aimed to develop a machine learning (ML) model to predict the risk of PSAMO. We retrospectively studied 1780 patients with stroke who were divided into PSAMO vs. no PSAMO groups based on results of validated depression and anxiety questionnaires. The features collected included demographic and sociological data, quality of life scores, stroke-related information, medical and medication history, and comorbidities. Recursive feature elimination was used to select features to input in parallel to eight ML algorithms to train and test the model. Bayesian optimization was used for hyperparameter tuning. Shaple...
Source: Sensors - September 17, 2023 Category: Biotechnology Authors: Chien Wei Oei Eddie Yin Kwee Ng Matthew Hok Shan Ng Ru-San Tan Yam Meng Chan Lai Gwen Chan Udyavara Rajendra Acharya Tags: Communication Source Type: research

Sensors, Vol. 23, Pages 7906: Quantitative Comparison of Hand Kinematics Measured with a Markerless Commercial Head-Mounted Display and a Marker-Based Motion Capture System in Stroke Survivors
Sofia Straudi Upper-limb paresis is common after stroke. An important tool to assess motor recovery is to use marker-based motion capture systems to measure the kinematic characteristics of patients’ movements in ecological scenarios. These systems are, however, very expensive and not readily available for many rehabilitation units. Here, we explored whether the markerless hand motion capabilities of the cost-effective Oculus Quest head-mounted display could be used to provide clinically meaningful measures. A total of 14 stroke patients executed ecologically relevant upper-limb tasks in an immersive vi...
Source: Sensors - September 15, 2023 Category: Biotechnology Authors: Antonino Casile Giulia Fregna Vittorio Boarini Chiara Paoluzzi Fabio Manfredini Nicola Lamberti Andrea Baroni Sofia Straudi Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7872: Development and Testing of a Daily Activity Recognition System for Post-Stroke Rehabilitation
kubic Those who survive the initial incidence of a stroke experience impacts on daily function. As a part of the rehabilitation process, it is essential for clinicians to monitor patients’ health status and recovery progress accurately and consistently; however, little is known about how patients function in their own homes. Therefore, the goal of this study was to develop, train, and test an algorithm within an ambient, in-home depth sensor system that can classify and quantify home activities of individuals post-stroke. We developed the Daily Activity Recognition and Assessment System (DARAS). A daily a...
Source: Sensors - September 14, 2023 Category: Biotechnology Authors: Rachel Proffitt Mengxuan Ma Marjorie Skubic Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7427: Assessing Spatiotemporal and Quality Alterations in Paretic Upper Limb Movements after Stroke in Routine Care: Proposal and Validation of a Protocol Using IMUs versus MoCap
This study aims to assess the minimal detectable change (MDC) between spatiotemporal and quality variables obtained from these IMUs and MoCap, based on a specific protocol of IMU calibration and measurement and on data processing using the dead reckoning method. We also studied the influence of each data processing step on the level of between-system MDC. Fifteen post-stroke hemiparetic subjects performed reach or grasp tasks. The MDC for the movement time, index of curvature, smoothness (studied through the number of submovements), and trunk contribution was equal to 10.83%, 3.62%, 39.62%, and 25.11%, respectively. All ca...
Source: Sensors - August 25, 2023 Category: Biotechnology Authors: Baptiste Merlau Camille Cormier Alexia Alaux Margot Morin Emmeline Montan é David Amarantini David Gasq Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7316: Adaptive Petal Reflector: In-Lab Software Configurable Optical Testing System Metrology and Modal Wavefront Reconstruction
nt This paper addresses two aspects of the metrology of spherical, petal polymer reflectors which are part of an effort by the European Space Agency (ESA) to develop actively controlled foldable reflectors, enabling larger apertures on CubeSats and small satellites. The first problem is that of measuring the surface figure error of the spherical reflector alone during the development phase, and to assess the quality before assembling the telescope (large stroke, low accuracy). The SCOTS (Software Configurable Optical Testing System) appears to provide a fast and satisfactory solution to this problem. The second problem...
Source: Sensors - August 22, 2023 Category: Biotechnology Authors: Carl Johan G. Nielsen Andr é Preumont Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7320: Surface-Electromyography-Based Co-Contraction Index for Monitoring Upper Limb Improvements in Post-Stroke Rehabilitation: A Pilot Randomized Controlled Trial Secondary Analysis
Tiziana Lencioni Persons post-stroke experience excessive muscle co-contraction, and consequently the arm functions are compromised during the activities of daily living. Therefore, identifying instrumental outcome measures able to detect the motor strategy adopted after a stroke is a primary clinical goal. Accordingly, this study aims at verifying whether the surface electromyography (sEMG)-based co-contraction index (CCI) could be a new clinically feasible approach for assessing and monitoring patients’ motor performance. Thirty-four persons post-stroke underwent clinical assessment and upper extremity...
Source: Sensors - August 22, 2023 Category: Biotechnology Authors: Virginia Bandini Ilaria Carpinella Alberto Marzegan Johanna Jonsdottir Carlo Albino Frigo Laura Avanzino Elisa Pelosin Maurizio Ferrarin Tiziana Lencioni Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7177: Does Accelerometry at the Centre of Mass Accurately Predict the Gait Energy Expenditure in Patients with Hemiparesis?
Conclusions: The accuracy of the predicted EE, based on the accelerometer and the equations proposed by Bouten et al., was low in individuals with hemiparesis and impaired gait. This combination (sensor and Bouten’s equation) is not yet suitable for use as a stand-alone measure in clinical practice for the evaluation of hemiparetic patients.
Source: Sensors - August 15, 2023 Category: Biotechnology Authors: L éo Barassin Didier Pradon Nicolas Roche Jean Slawinski Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7055: Wearable and Noninvasive Device for Integral Congestive Heart Failure Management in the IoMT Paradigm
The objective of this study is to develop a wearable bioimpedance-based device, which can provide continuous measurement of cardiac output and stroke volume, as well as other physiological parameters for a greater prognosis and prevention of congestive heart failure. The bioimpedance system, which is based on a robust and cost-effective measuring principle, was implemented in a CMOS application specific integrated circuit, and operates as the analog front-end of the device, which has been provided with a radio-frequency section for wireless communication. The operating parameters of the proposed wearable device are remotel...
Source: Sensors - August 9, 2023 Category: Biotechnology Authors: Jos é L. Ausín Javier Ramos Antonio Lorido Pedro Molina J. Francisco Duque-Carrillo Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6793: Performance Evaluation for Clinical Stroke Rehabilitation via an Automatic Mobile Gait Trainer
Fu-Cheng Wang This paper investigates the clinical efficacy of an automatic mobile trainer for gait training in stroke patients. Neuro-Developmental Treatment (NDT) is a rehabilitation method for stroke patients that enhances motor learning through repeated practice. Despite the proven effectiveness of therapist-assisted NDT, it is labor-intensive and demands health resources. Therefore, we developed automatic trainers based on NDT principles to perform gait training. This paper modifies the mobile trainer’s intervention patterns to improve the subject’s longitudinal gait symmetry, lateral p...
Source: Sensors - July 29, 2023 Category: Biotechnology Authors: Chih-Jen Shih You-Chi Li Wei Yuan Szu-Fu Chen Ang-Chieh Lin Tzu-Tung Lin Fu-Cheng Wang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6449: Sollerman Hand Function Sub-Test & ldquo;Write with a Pen & rdquo;: A Computer-Vision-Based Approach in Rehabilitation Assessment
Sensors, Vol. 23, Pages 6449: Sollerman Hand Function Sub-Test “Write with a Pen”: A Computer-Vision-Based Approach in Rehabilitation Assessment Sensors doi: 10.3390/s23146449 Authors: Orestis N. Zestas Nikolaos D. Tselikas Impaired hand function is one of the most frequently persistent consequences of stroke. Throughout the rehabilitation process, physicians consistently monitor patients and perform kinematic evaluations in order to assess their overall progress in motor recovery. The Sollerman Hand Function Test (SHT) is a valuable assessment tool used to evaluate a patient’s c...
Source: Sensors - July 17, 2023 Category: Biotechnology Authors: Orestis N. Zestas Nikolaos D. Tselikas Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6339: Initial Testing of Robotic Exoskeleton Hand Device for Stroke Rehabilitation
ullah The preliminary test results of a novel robotic hand rehabilitation device aimed at treatment for the loss of motor abilities in the fingers and thumb due to stroke are presented. This device has been developed in collaboration with physiotherapists who regularly treat individuals who have suffered from a stroke. The device was tested on healthy adults to ensure comfort, user accessibility, and repeatability for various hand sizes in preparation for obtaining permission from regulatory bodies and implementing the design in a full clinical trial. Trials were conducted with 52 healthy individuals ranging in age fro...
Source: Sensors - July 12, 2023 Category: Biotechnology Authors: Rami Alhamad Nitin Seth Hussein A. Abdullah Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6150: A Rigorous and Integrated On-Water Monitoring System for Performance and Technique Improvement in Rowing
oulis This paper presents a prototype, on-water rowing monitoring system and its testing results for a single scull boat. The proposed system aims at recording critical kinetic (athlete biomechanics and oar/seat movements) and kinematic (boat position, velocity, acceleration, and attitude) parameters for sport performance evaluation and rowing technique improvement. The data acquisition unit is organized in two parts: the first part aims at logging boat kinematics based on GNSS/INS filtering, while the second one facilitates kinetics data recording using a series of analog sensors (potentiometers, strain gauges) instal...
Source: Sensors - July 4, 2023 Category: Biotechnology Authors: Thanassis Mpimis Vassilis Gikas Vassilios Gourgoulis Tags: Article Source Type: research

Sensors, Vol. 23, Pages 6110: Application of Deep Learning Algorithm to Monitor Upper Extremity Task Practice
The objective of this study was to develop algorithms to enable the objective identification of task type and quality. Twenty neurotypical participants wore an IMU sensor on the wrist and performed four representative tasks in prescribed fashions that mimicked correct, compensatory, and incomplete movement qualities typically seen in stroke survivors. LSTM classifiers were trained to identify the task being performed and its movement quality. Our models achieved an accuracy of 90.8% for task identification and 84.9%, 81.1%, 58.4%, and 73.2% for movement quality classification for the four tasks for unseen participants. The...
Source: Sensors - July 3, 2023 Category: Biotechnology Authors: Mingqi Li Gabrielle Scronce Christian Finetto Kristen Coupland Matthew Zhong Melanie E. Lambert Adam Baker Feng Luo Na Jin Seo Tags: Article Source Type: research

Sensors, Vol. 23, Pages 5892: Robust Arm Impedocardiography Signal Quality Enhancement Using Recursive Signal Averaging and Multi-Stage Wavelet Denoising Methods for Long-Term Cardiac Contractility Monitoring Armbands
This study considered the upper arm ICG and control Thorax-ICG recordings data from 15 healthy subject cases. A prefiltering stage included a third-order Savitzky–Golay finite impulse response (FIR) filter, which was applied to the raw ICG signals. Then, a multi-stage wavelet-based denoising strategy on a beat-by-beat (BbyB) basis, which was supported by a recursive signal-averaging optimal thresholding adaptation algorithm for Arm-ICG signals, was investigated for robust signal quality enhancement. The performance of the BbyB ICG denoising was evaluated for each case using a 700 ms frame centred on the heart...
Source: Sensors - June 25, 2023 Category: Biotechnology Authors: Omar Escalona Nicole Cullen Idongesit Weli Niamh McCallan Kok Yew Ng Dewar Finlay Tags: Article Source Type: research

Sensors, Vol. 23, Pages 5868: A Sensor-Based Feedback Device Stimulating Daily Life Upper Extremity Activity in Stroke Patients: A Feasibility Study
Conclusion: Participants who adhered to the study showed good acceptance and usability of the AAT and increased paretic UE activity. Dropouts should be further evaluated, and a sufficiently powered trial should be performed to analyse efficacy.
Source: Sensors - June 25, 2023 Category: Biotechnology Authors: Anthonia J. Langerak Gerrit Ruben Hendrik Regterschot Marc Evers Bert-Jan F. van Beijnum Carel G. M. Meskers Ruud W. Selles Gerard M. Ribbers Johannes B. J. Bussmann Tags: Article Source Type: research